Studies on omnidirectional content were pioneered by the work of Bogdanova et al. [1]}, [1]} where the spherical static saliency map was generated by normalizing and merging chromatic, intensity and three cue conspicuities. They also created a motion spherical saliency map through a motion pyramid decomposition. At the last stage, the two resulting maps were fused to produce the spherical frame saliency map. In [3]}, the authors introduced a Fused Saliency Map (FSM) to predict visual attention on ERP omnidirectional images by adopting the well-known 2D saliency model SALICON [4]}. In [5]}, the authors extended both the 2D Boolean Map Saliency (BMS) [6]} and GBVS [7]} by incorporating the characteristics of ERP images.
